tf.nn.avg_pool1d

Performs the average pooling on the input.

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.nn.avg_pool1d, `tf.compat.v2.nn.avg_pool1d`

tf.nn.avg_pool1d(
    input, ksize, strides, padding, data_format='NWC', name=None
)

Each entry in output is the mean of the corresponding size ksize window in value.

Note internally this op reshapes and uses the underlying 2d operation.

Args
`input`	A 3-D `Tensor` of the format specified by `data_format`.
`ksize`	An int or list of `ints` that has length `1` or `3`. The size of the window for each dimension of the input tensor.
`strides`	An int or list of `ints` that has length `1` or `3`. The stride of the sliding window for each dimension of the input tensor.
`padding`	A string, either `'VALID'` or `'SAME'`. The padding algorithm. See the "returns" section of `tf.nn.convolution` for details.
`data_format`	An optional string from: "NWC", "NCW". Defaults to "NWC".
`name`	A name for the operation (optional).

Returns
A `Tensor` of format specified by `data_format`. The max pooled output tensor.

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Last updated 2020-10-01 UTC.

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